Minor modifications

README.md

@@ -157,7 +157,14 @@ data = load_dataset("GEM/opusparcus", "fr.90")
 
 Remark regarding the optimal choice of training set qualities:
 Previous work suggests that a larger and noisier set is better than a
-smaller and clean set. See Sjöblom et al. (2018). [Paraphrase Detection on Noisy Subtitles in Six Languages](http://noisy-text.github.io/2018/pdf/W-NUT20189.pdf). In Proceedings of the 2018 EMNLP Workshop W-NUT: The 4th Workshop on Noisy User-generated Text., and Vahtola et al. (2021). [Coping with Noisy Training Data Labels in Paraphrase Detection](https://aclanthology.org/2021.wnut-1.32/). In Proceedings of the 7th Workshop on Noisy User-generated Text.
+smaller and clean set. See Sjöblom et al. (2018). [Paraphrase
+Detection on Noisy Subtitles in Six
+Languages](http://noisy-text.github.io/2018/pdf/W-NUT20189.pdf). In
+*Proceedings of the 2018 EMNLP Workshop W-NUT: The 4th Workshop on
+Noisy User-generated Text*, and Vahtola et al. (2021). [Coping with
+Noisy Training Data Labels in Paraphrase
+Detection](https://aclanthology.org/2021.wnut-1.32/). In *Proceedings
+of the 7th Workshop on Noisy User-generated Text*.
 
 ### Data Instances
 
@@ -250,8 +257,8 @@ the value 0.0 in the `annot_score` field.
 
 For an assessment of of inter-annotator agreement, see Aulamo et
 al. (2019). [Annotation of subtitle paraphrases using a new web
-tool.](http://ceur-ws.org/Vol-2364/3_paper.pdf) In Proceedings of the
-Digital Humanities in the Nordic Countries 4th Conference],
+tool.](http://ceur-ws.org/Vol-2364/3_paper.pdf) In *Proceedings of the
+Digital Humanities in the Nordic Countries 4th Conference*,
 Copenhagen, Denmark.
 
 ### Data Splits